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Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks


Nov 22, 2022
Kishan K C, Rui Li, Paribesh Regmi, Anne R. Haake

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Towards Improved Learning in Gaussian Processes: The Best of Two Worlds


Nov 11, 2022
Rui Li, ST John, Arno Solin

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* In the 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems 

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Learning on Large-scale Text-attributed Graphs via Variational Inference


Oct 26, 2022
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

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The Future of Consumer Edge-AI Computing


Oct 19, 2022
Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane

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* Under review 

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Test-Time Training for Graph Neural Networks


Oct 17, 2022
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie

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A Policy-based Approach to the SpecAugment Method for Low Resource E2E ASR


Oct 16, 2022
Rui Li, Guodong Ma, Dexin Zhao, Ranran Zeng, Xiaoyu Li, Hao Huang

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* Accepted to APSIPA ASC 2022 

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Accelerated partial separable model using dimension-reduced optimization technique for ultra-fast cardiac MRI


Oct 02, 2022
Zhongsen Li, Aiqi Sun, Chuyu Liu, Haining Wei, Shuai Wang, Mingzhu Fu, Rui Li

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* 10 pages, 9 figures. In preparation for submission to IEEE Transactions on Medical Imaging (TMI) 

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Spatial-then-Temporal Self-Supervised Learning for Video Correspondence


Sep 16, 2022
Rui Li, Dong Liu

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Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning


Aug 26, 2022
Zecheng Liu, Jia Wei, Rui Li

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* 8 pages, 10 figures 

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TFusion: Transformer based N-to-One Multimodal Fusion Block


Aug 26, 2022
Zecheng Liu, Jia Wei, Rui Li

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* 7 pages, 6 figures 

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